Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	234522
Missing cells	2306313
Missing cells (%)	54.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	32.2 MiB
Average record size in memory	144.0 B

Variable types

Categorical	3
Numeric	15

Warnings

`dep` has a high cardinality: 101 distinct values	High cardinality
`date_de_passage` has a high cardinality: 387 distinct values	High cardinality
`nbre_pass_corona` is highly correlated with `nbre_pass_corona_h` and 1 other fields	High correlation
`nbre_pass_tot` is highly correlated with `nbre_pass_tot_h` and 1 other fields	High correlation
`nbre_hospit_corona` is highly correlated with `nbre_hospit_corona_h` and 1 other fields	High correlation
`nbre_pass_corona_h` is highly correlated with `nbre_pass_corona` and 2 other fields	High correlation
`nbre_pass_corona_f` is highly correlated with `nbre_pass_corona` and 1 other fields	High correlation
`nbre_pass_tot_h` is highly correlated with `nbre_pass_tot` and 1 other fields	High correlation
`nbre_pass_tot_f` is highly correlated with `nbre_pass_tot` and 1 other fields	High correlation
`nbre_hospit_corona_h` is highly correlated with `nbre_hospit_corona` and 1 other fields	High correlation
`nbre_hospit_corona_f` is highly correlated with `nbre_hospit_corona`	High correlation
`nbre_acte_corona` is highly correlated with `nbre_acte_corona_h` and 1 other fields	High correlation
`nbre_acte_tot` is highly correlated with `nbre_acte_tot_h` and 1 other fields	High correlation
`nbre_acte_corona_h` is highly correlated with `nbre_acte_corona` and 1 other fields	High correlation
`nbre_acte_corona_f` is highly correlated with `nbre_acte_corona` and 1 other fields	High correlation
`nbre_acte_tot_h` is highly correlated with `nbre_acte_tot` and 1 other fields	High correlation
`nbre_acte_tot_f` is highly correlated with `nbre_acte_tot` and 1 other fields	High correlation
`nbre_pass_corona` has 2677 (1.1%) missing values	Missing
`nbre_pass_tot` has 2677 (1.1%) missing values	Missing
`nbre_hospit_corona` has 2677 (1.1%) missing values	Missing
`nbre_pass_corona_h` has 195828 (83.5%) missing values	Missing
`nbre_pass_corona_f` has 195828 (83.5%) missing values	Missing
`nbre_pass_tot_h` has 195828 (83.5%) missing values	Missing
`nbre_pass_tot_f` has 195828 (83.5%) missing values	Missing
`nbre_hospit_corona_h` has 195828 (83.5%) missing values	Missing
`nbre_hospit_corona_f` has 195828 (83.5%) missing values	Missing
`nbre_acte_corona` has 128207 (54.7%) missing values	Missing
`nbre_acte_tot` has 128207 (54.7%) missing values	Missing
`nbre_acte_corona_h` has 216725 (92.4%) missing values	Missing
`nbre_acte_corona_f` has 216725 (92.4%) missing values	Missing
`nbre_acte_tot_h` has 216725 (92.4%) missing values	Missing
`nbre_acte_tot_f` has 216725 (92.4%) missing values	Missing
`dep` is uniformly distributed	Uniform
`date_de_passage` is uniformly distributed	Uniform
`sursaud_cl_age_corona` is uniformly distributed	Uniform
`nbre_pass_corona` has 108098 (46.1%) zeros	Zeros
`nbre_hospit_corona` has 142471 (60.7%) zeros	Zeros
`nbre_pass_corona_h` has 10994 (4.7%) zeros	Zeros
`nbre_pass_corona_f` has 11186 (4.8%) zeros	Zeros
`nbre_hospit_corona_h` has 16197 (6.9%) zeros	Zeros
`nbre_hospit_corona_f` has 17616 (7.5%) zeros	Zeros
`nbre_acte_corona` has 44346 (18.9%) zeros	Zeros
`nbre_acte_corona_h` has 3556 (1.5%) zeros	Zeros
`nbre_acte_corona_f` has 2976 (1.3%) zeros	Zeros

Reproduction

Analysis started	2021-03-18 15:48:44.892620
Analysis finished	2021-03-18 15:49:13.267764
Duration	28.38 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

dep
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	101
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

64	2322
30	2322
972	2322
78	2322
23	2322
Other values (96)	222912

Length

Max length	3
Median length	2
Mean length	2.04950495
Min length	2

Characters and Unicode

Total characters	480654
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	01
2nd row	01
3rd row	01
4th row	01
5th row	01

Value	Count	Frequency (%)
64	2322	1.0%
30	2322	1.0%
972	2322	1.0%
78	2322	1.0%
23	2322	1.0%
83	2322	1.0%
09	2322	1.0%
05	2322	1.0%
79	2322	1.0%
66	2322	1.0%
Other values (91)	211302	90.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
64	2322	1.0%
39	2322	1.0%
78	2322	1.0%
23	2322	1.0%
83	2322	1.0%
09	2322	1.0%
05	2322	1.0%
79	2322	1.0%
66	2322	1.0%
46	2322	1.0%
Other values (91)	211302	90.1%

Most occurring characters

Value	Count	Frequency (%)
7	55728	11.6%
2	51084	10.6%
1	48762	10.1%
3	48762	10.1%
4	48762	10.1%
5	46440	9.7%
6	46440	9.7%
9	46440	9.7%
8	44118	9.2%
0	39474	8.2%
Other values (2)	4644	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	476010	99.0%
Uppercase Letter	4644	1.0%

Most frequent character per category

Value	Count	Frequency (%)
7	55728	11.7%
2	51084	10.7%
1	48762	10.2%
3	48762	10.2%
4	48762	10.2%
5	46440	9.8%
6	46440	9.8%
9	46440	9.8%
8	44118	9.3%
0	39474	8.3%

Value	Count	Frequency (%)
A	2322	50.0%
B	2322	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	476010	99.0%
Latin	4644	1.0%

Most frequent character per script

Value	Count	Frequency (%)
7	55728	11.7%
2	51084	10.7%
1	48762	10.2%
3	48762	10.2%
4	48762	10.2%
5	46440	9.8%
6	46440	9.8%
9	46440	9.8%
8	44118	9.3%
0	39474	8.3%

Value	Count	Frequency (%)
A	2322	50.0%
B	2322	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	480654	100.0%

Most frequent character per block

Value	Count	Frequency (%)
7	55728	11.6%
2	51084	10.6%
1	48762	10.1%
3	48762	10.1%
4	48762	10.1%
5	46440	9.7%
6	46440	9.7%
9	46440	9.7%
8	44118	9.2%
0	39474	8.2%
Other values (2)	4644	1.0%

date_de_passage
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	387
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

2020-08-28	606
2020-09-08	606
2020-07-05	606
2020-04-17	606
2020-03-22	606
Other values (382)	231492

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	2345220
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-02-24
2nd row	2020-02-24
3rd row	2020-02-24
4th row	2020-02-24
5th row	2020-02-24

Value	Count	Frequency (%)
2020-08-28	606	0.3%
2020-09-08	606	0.3%
2020-07-05	606	0.3%
2020-04-17	606	0.3%
2020-03-22	606	0.3%
2021-02-26	606	0.3%
2020-03-16	606	0.3%
2020-05-09	606	0.3%
2020-10-06	606	0.3%
2020-10-05	606	0.3%
Other values (377)	228462	97.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-08-28	606	0.3%
2020-09-08	606	0.3%
2020-07-05	606	0.3%
2020-04-17	606	0.3%
2020-03-22	606	0.3%
2021-02-26	606	0.3%
2020-03-16	606	0.3%
2020-05-09	606	0.3%
2020-10-06	606	0.3%
2020-10-05	606	0.3%
Other values (377)	228462	97.4%

Most occurring characters

Value	Count	Frequency (%)
0	713868	30.4%
2	607212	25.9%
-	469044	20.0%
1	242400	10.3%
3	62418	2.7%
5	42420	1.8%
4	41814	1.8%
6	41814	1.8%
7	41814	1.8%
8	41814	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1876176	80.0%
Dash Punctuation	469044	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	713868	38.0%
2	607212	32.4%
1	242400	12.9%
3	62418	3.3%
5	42420	2.3%
4	41814	2.2%
6	41814	2.2%
7	41814	2.2%
8	41814	2.2%
9	40602	2.2%

Value	Count	Frequency (%)
-	469044	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2345220	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	713868	30.4%
2	607212	25.9%
-	469044	20.0%
1	242400	10.3%
3	62418	2.7%
5	42420	1.8%
4	41814	1.8%
6	41814	1.8%
7	41814	1.8%
8	41814	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2345220	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	713868	30.4%
2	607212	25.9%
-	469044	20.0%
1	242400	10.3%
3	62418	2.7%
5	42420	1.8%
4	41814	1.8%
6	41814	1.8%
7	41814	1.8%
8	41814	1.8%

sursaud_cl_age_corona
Categorical

UNIFORM

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

E	39087
A	39087
C	39087
0	39087
D	39087

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	234522
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	A
3rd row	B
4th row	C
5th row	D

Value	Count	Frequency (%)
E	39087	16.7%
A	39087	16.7%
C	39087	16.7%
0	39087	16.7%
D	39087	16.7%
B	39087	16.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
b	39087	16.7%
d	39087	16.7%
0	39087	16.7%
e	39087	16.7%
a	39087	16.7%
c	39087	16.7%

Most occurring characters

Value	Count	Frequency (%)
0	39087	16.7%
A	39087	16.7%
B	39087	16.7%
C	39087	16.7%
D	39087	16.7%
E	39087	16.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	195435	83.3%
Decimal Number	39087	16.7%

Most frequent character per category

Value	Count	Frequency (%)
A	39087	20.0%
B	39087	20.0%
C	39087	20.0%
D	39087	20.0%
E	39087	20.0%

Value	Count	Frequency (%)
0	39087	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	195435	83.3%
Common	39087	16.7%

Most frequent character per script

Value	Count	Frequency (%)
A	39087	20.0%
B	39087	20.0%
C	39087	20.0%
D	39087	20.0%
E	39087	20.0%

Value	Count	Frequency (%)
0	39087	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234522	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	39087	16.7%
A	39087	16.7%
B	39087	16.7%
C	39087	16.7%
D	39087	16.7%
E	39087	16.7%

nbre_pass_corona
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	251
Distinct (%)	0.1%
Missing	2677
Missing (%)	1.1%
Infinite	0
Infinite (%)	0.0%

Mean	3.432090405
Minimum	0
Maximum	635
Zeros	108098
Zeros (%)	46.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	15
Maximum	635
Range	635
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	10.37553732
Coefficient of variation (CV)	3.023095576
Kurtosis	437.680436
Mean	3.432090405
Median Absolute Deviation (MAD)	1
Skewness	14.58621493
Sum	795713
Variance	107.6517747
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	108098	46.1%
1	37180	15.9%
2	20957	8.9%
3	13504	5.8%
4	9373	4.0%
5	7016	3.0%
6	5164	2.2%
7	4239	1.8%
8	3449	1.5%
9	2720	1.2%
Other values (241)	20145	8.6%
(Missing)	2677	1.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	108098	46.1%
1	37180	15.9%
2	20957	8.9%
3	13504	5.8%
4	9373	4.0%

Value	Count	Frequency (%)
635	1	< 0.1%
549	1	< 0.1%
537	1	< 0.1%
536	1	< 0.1%
525	1	< 0.1%

nbre_pass_tot
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	1633
Distinct (%)	0.7%
Missing	2677
Missing (%)	1.1%
Infinite	0
Infinite (%)	0.0%

Mean	117.8979577
Minimum	0
Maximum	2240
Zeros	3
Zeros (%)	< 0.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	29
median	59
Q3	128
95-th percentile	430
Maximum	2240
Range	2240
Interquartile range (IQR)	99

Descriptive statistics

Standard deviation	172.8076079
Coefficient of variation (CV)	1.465738773
Kurtosis	20.40682253
Mean	117.8979577
Median Absolute Deviation (MAD)	37
Skewness	3.84231659
Sum	27334052
Variance	29862.46934
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17	2617	1.1%
19	2613	1.1%
18	2612	1.1%
20	2604	1.1%
24	2567	1.1%
23	2521	1.1%
22	2491	1.1%
28	2483	1.1%
26	2466	1.1%
25	2465	1.1%
Other values (1623)	206406	88.0%
(Missing)	2677	1.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	< 0.1%
1	583	0.2%
2	758	0.3%
3	981	0.4%
4	1034	0.4%

Value	Count	Frequency (%)
2240	1	< 0.1%
2227	1	< 0.1%
2188	1	< 0.1%
2102	1	< 0.1%
2090	1	< 0.1%

nbre_hospit_corona
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	118
Distinct (%)	0.1%
Missing	2677
Missing (%)	1.1%
Infinite	0
Infinite (%)	0.0%

Mean	1.569423537
Minimum	0
Maximum	203
Zeros	142471
Zeros (%)	60.7%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	7
Maximum	203
Range	203
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	4.452421075
Coefficient of variation (CV)	2.836978654
Kurtosis	167.7011925
Mean	1.569423537
Median Absolute Deviation (MAD)	0
Skewness	9.229332032
Sum	363863
Variance	19.82405343
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	142471	60.7%
1	34834	14.9%
2	16710	7.1%
3	9763	4.2%
4	6598	2.8%
5	4366	1.9%
6	3193	1.4%
7	2402	1.0%
8	1856	0.8%
9	1462	0.6%
Other values (108)	8190	3.5%
(Missing)	2677	1.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	142471	60.7%
1	34834	14.9%
2	16710	7.1%
3	9763	4.2%
4	6598	2.8%

Value	Count	Frequency (%)
203	1	< 0.1%
193	1	< 0.1%
168	1	< 0.1%
157	1	< 0.1%
150	1	< 0.1%

nbre_pass_corona_h
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	144
Distinct (%)	0.4%
Missing	195828
Missing (%)	83.5%
Infinite	0
Infinite (%)	0.0%

Mean	5.019408694
Minimum	0
Maximum	320
Zeros	10994
Zeros (%)	4.7%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	6
95-th percentile	19
Maximum	320
Range	320
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	10.33690659
Coefficient of variation (CV)	2.059387315
Kurtosis	131.3806204
Mean	5.019408694
Median Absolute Deviation (MAD)	2
Skewness	8.401733644
Sum	194221
Variance	106.8516379
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	10994	4.7%
1	6071	2.6%
2	4292	1.8%
3	3187	1.4%
4	2413	1.0%
5	1845	0.8%
6	1474	0.6%
7	1159	0.5%
8	889	0.4%
9	835	0.4%
Other values (134)	5535	2.4%
(Missing)	195828	83.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	10994	4.7%
1	6071	2.6%
2	4292	1.8%
3	3187	1.4%
4	2413	1.0%

Value	Count	Frequency (%)
320	1	< 0.1%
280	1	< 0.1%
254	1	< 0.1%
244	1	< 0.1%
240	2	< 0.1%

nbre_pass_corona_f
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	152
Distinct (%)	0.4%
Missing	195828
Missing (%)	83.5%
Infinite	0
Infinite (%)	0.0%

Mean	5.261513413
Minimum	0
Maximum	315
Zeros	11186
Zeros (%)	4.8%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	6
95-th percentile	21
Maximum	315
Range	315
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	10.94614662
Coefficient of variation (CV)	2.080417888
Kurtosis	135.0207536
Mean	5.261513413
Median Absolute Deviation (MAD)	2
Skewness	8.471297016
Sum	203589
Variance	119.8181259
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	11186	4.8%
1	6020	2.6%
2	4103	1.7%
3	3047	1.3%
4	2240	1.0%
5	1879	0.8%
6	1455	0.6%
7	1143	0.5%
8	936	0.4%
9	785	0.3%
Other values (142)	5900	2.5%
(Missing)	195828	83.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11186	4.8%
1	6020	2.6%
2	4103	1.7%
3	3047	1.3%
4	2240	1.0%

Value	Count	Frequency (%)
315	1	< 0.1%
292	1	< 0.1%
285	1	< 0.1%
283	1	< 0.1%
269	1	< 0.1%

nbre_pass_tot_h
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	933
Distinct (%)	2.4%
Missing	195828
Missing (%)	83.5%
Infinite	0
Infinite (%)	0.0%

Mean	183.3007185
Minimum	0
Maximum	1176
Zeros	2
Zeros (%)	< 0.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	36
Q1	78
median	135
Q3	236
95-th percentile	487
Maximum	1176
Range	1176
Interquartile range (IQR)	158

Descriptive statistics

Standard deviation	152.1908554
Coefficient of variation (CV)	0.8302796447
Kurtosis	4.090970279
Mean	183.3007185
Median Absolute Deviation (MAD)	69
Skewness	1.819323611
Sum	7092638
Variance	23162.05647
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
66	230	0.1%
68	220	0.1%
69	217	0.1%
77	217	0.1%
82	213	0.1%
71	213	0.1%
83	210	0.1%
55	210	0.1%
95	209	0.1%
86	209	0.1%
Other values (923)	36546	15.6%
(Missing)	195828	83.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	15	< 0.1%
2	18	< 0.1%
3	13	< 0.1%
4	17	< 0.1%

Value	Count	Frequency (%)
1176	1	< 0.1%
1156	1	< 0.1%
1139	1	< 0.1%
1119	1	< 0.1%
1078	1	< 0.1%

nbre_pass_tot_f
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	877
Distinct (%)	2.3%
Missing	195828
Missing (%)	83.5%
Infinite	0
Infinite (%)	0.0%

Mean	169.8685326
Minimum	0
Maximum	1084
Zeros	10
Zeros (%)	< 0.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	33
Q1	74
median	125
Q3	218
95-th percentile	451
Maximum	1084
Range	1084
Interquartile range (IQR)	144

Descriptive statistics

Standard deviation	139.8096688
Coefficient of variation (CV)	0.8230463094
Kurtosis	4.065420145
Mean	169.8685326
Median Absolute Deviation (MAD)	63
Skewness	1.790530941
Sum	6572893
Variance	19546.7435
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
73	264	0.1%
96	240	0.1%
76	235	0.1%
48	233	0.1%
77	233	0.1%
70	228	0.1%
87	228	0.1%
78	226	0.1%
83	226	0.1%
89	226	0.1%
Other values (867)	36355	15.5%
(Missing)	195828	83.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	10	< 0.1%
1	20	< 0.1%
2	19	< 0.1%
3	15	< 0.1%
4	20	< 0.1%

Value	Count	Frequency (%)
1084	1	< 0.1%
1051	1	< 0.1%
1049	1	< 0.1%
1046	1	< 0.1%
1045	1	< 0.1%

nbre_hospit_corona_h
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	83
Distinct (%)	0.2%
Missing	195828
Missing (%)	83.5%
Infinite	0
Infinite (%)	0.0%

Mean	2.588023983
Minimum	0
Maximum	130
Zeros	16197
Zeros (%)	6.9%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	11
Maximum	130
Range	130
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	5.144925455
Coefficient of variation (CV)	1.987974412
Kurtosis	69.00555221
Mean	2.588023983
Median Absolute Deviation (MAD)	1
Skewness	6.026690935
Sum	100141
Variance	26.47025794
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	16197	6.9%
1	7212	3.1%
2	4235	1.8%
3	2736	1.2%
4	1770	0.8%
5	1340	0.6%
6	991	0.4%
7	753	0.3%
8	611	0.3%
9	461	0.2%
Other values (73)	2388	1.0%
(Missing)	195828	83.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	16197	6.9%
1	7212	3.1%
2	4235	1.8%
3	2736	1.2%
4	1770	0.8%

Value	Count	Frequency (%)
130	1	< 0.1%
127	1	< 0.1%
111	1	< 0.1%
102	1	< 0.1%
96	1	< 0.1%

nbre_hospit_corona_f
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	60
Distinct (%)	0.2%
Missing	195828
Missing (%)	83.5%
Infinite	0
Infinite (%)	0.0%

Mean	2.113480126
Minimum	0
Maximum	76
Zeros	17616
Zeros (%)	7.5%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	9
Maximum	76
Range	76
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.993451818
Coefficient of variation (CV)	1.889514725
Kurtosis	35.67383143
Mean	2.113480126
Median Absolute Deviation (MAD)	1
Skewness	4.632348907
Sum	81779
Variance	15.94765743
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	17616	7.5%
1	7177	3.1%
2	4107	1.8%
3	2690	1.1%
4	1756	0.7%
5	1260	0.5%
6	878	0.4%
7	615	0.3%
8	476	0.2%
9	378	0.2%
Other values (50)	1741	0.7%
(Missing)	195828	83.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	17616	7.5%
1	7177	3.1%
2	4107	1.8%
3	2690	1.1%
4	1756	0.7%

Value	Count	Frequency (%)
76	1	< 0.1%
67	1	< 0.1%
65	1	< 0.1%
63	1	< 0.1%
59	1	< 0.1%

nbre_acte_corona
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	156
Distinct (%)	0.1%
Missing	128207
Missing (%)	54.7%
Infinite	0
Infinite (%)	0.0%

Mean	3.593782627
Minimum	0
Maximum	259
Zeros	44346
Zeros (%)	18.9%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	4
95-th percentile	16
Maximum	259
Range	259
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	8.319660524
Coefficient of variation (CV)	2.315014954
Kurtosis	109.4055752
Mean	3.593782627
Median Absolute Deviation (MAD)	1
Skewness	7.587798301
Sum	382073
Variance	69.21675123
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	44346	18.9%
1	18203	7.8%
2	10141	4.3%
3	6518	2.8%
4	4679	2.0%
5	3505	1.5%
6	2782	1.2%
7	2191	0.9%
8	1862	0.8%
9	1462	0.6%
Other values (146)	10626	4.5%
(Missing)	128207	54.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	44346	18.9%
1	18203	7.8%
2	10141	4.3%
3	6518	2.8%
4	4679	2.0%

Value	Count	Frequency (%)
259	1	< 0.1%
252	1	< 0.1%
251	1	< 0.1%
240	1	< 0.1%
223	1	< 0.1%

nbre_acte_tot
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	922
Distinct (%)	0.9%
Missing	128207
Missing (%)	54.7%
Infinite	0
Infinite (%)	0.0%

Mean	62.08117387
Minimum	1
Maximum	1444
Zeros	0
Zeros (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	12
median	28
Q3	72
95-th percentile	227
Maximum	1444
Range	1443
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	96.70692136
Coefficient of variation (CV)	1.557749561
Kurtosis	25.05883401
Mean	62.08117387
Median Absolute Deviation (MAD)	20
Skewness	4.191652358
Sum	6600160
Variance	9352.228638
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	2773	1.2%
7	2754	1.2%
8	2683	1.1%
6	2670	1.1%
10	2620	1.1%
5	2550	1.1%
11	2411	1.0%
12	2406	1.0%
4	2315	1.0%
13	2313	1.0%
Other values (912)	80820	34.5%
(Missing)	128207	54.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	935	0.4%
2	1513	0.6%
3	1850	0.8%
4	2315	1.0%
5	2550	1.1%

Value	Count	Frequency (%)
1444	1	< 0.1%
1414	1	< 0.1%
1379	1	< 0.1%
1309	1	< 0.1%
1262	1	< 0.1%

nbre_acte_corona_h
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	79
Distinct (%)	0.4%
Missing	216725
Missing (%)	92.4%
Infinite	0
Infinite (%)	0.0%

Mean	4.688318256
Minimum	0
Maximum	121
Zeros	3556
Zeros (%)	1.5%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	6
95-th percentile	16
Maximum	121
Range	121
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	6.875911437
Coefficient of variation (CV)	1.466605094
Kurtosis	40.50809719
Mean	4.688318256
Median Absolute Deviation (MAD)	2
Skewness	4.721543848
Sum	83438
Variance	47.27815809
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3556	1.5%
1	2755	1.2%
2	2266	1.0%
3	1851	0.8%
4	1479	0.6%
5	1122	0.5%
6	783	0.3%
7	710	0.3%
8	522	0.2%
9	407	0.2%
Other values (69)	2346	1.0%
(Missing)	216725	92.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3556	1.5%
1	2755	1.2%
2	2266	1.0%
3	1851	0.8%
4	1479	0.6%

Value	Count	Frequency (%)
121	1	< 0.1%
114	1	< 0.1%
110	1	< 0.1%
107	1	< 0.1%
103	1	< 0.1%

nbre_acte_corona_f
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	101
Distinct (%)	0.6%
Missing	216725
Missing (%)	92.4%
Infinite	0
Infinite (%)	0.0%

Mean	6.057088273
Minimum	0
Maximum	144
Zeros	2976
Zeros (%)	1.3%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	8
95-th percentile	21
Maximum	144
Range	144
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	8.844324298
Coefficient of variation (CV)	1.460161038
Kurtosis	38.83895723
Mean	6.057088273
Median Absolute Deviation (MAD)	3
Skewness	4.719620043
Sum	107798
Variance	78.22207228
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2976	1.3%
1	2203	0.9%
2	1990	0.8%
3	1836	0.8%
4	1448	0.6%
5	1186	0.5%
6	926	0.4%
7	775	0.3%
8	614	0.3%
9	507	0.2%
Other values (91)	3336	1.4%
(Missing)	216725	92.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2976	1.3%
1	2203	0.9%
2	1990	0.8%
3	1836	0.8%
4	1448	0.6%

Value	Count	Frequency (%)
144	1	< 0.1%
138	3	< 0.1%
124	1	< 0.1%
122	1	< 0.1%
120	1	< 0.1%

nbre_acte_tot_h
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	444
Distinct (%)	2.5%
Missing	216725
Missing (%)	92.4%
Infinite	0
Infinite (%)	0.0%

Mean	78.94100129
Minimum	0
Maximum	621
Zeros	11
Zeros (%)	< 0.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	15
Q1	36
median	55
Q3	94
95-th percentile	235
Maximum	621
Range	621
Interquartile range (IQR)	58

Descriptive statistics

Standard deviation	70.99220626
Coefficient of variation (CV)	0.899307142
Kurtosis	6.175302752
Mean	78.94100129
Median Absolute Deviation (MAD)	24
Skewness	2.254087568
Sum	1404913
Variance	5039.89335
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39	291	0.1%
43	285	0.1%
40	273	0.1%
36	260	0.1%
44	258	0.1%
45	248	0.1%
38	247	0.1%
37	246	0.1%
41	245	0.1%
48	243	0.1%
Other values (434)	15201	6.5%
(Missing)	216725	92.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11	< 0.1%
1	8	< 0.1%
2	24	< 0.1%
3	23	< 0.1%
4	26	< 0.1%

Value	Count	Frequency (%)
621	1	< 0.1%
620	1	< 0.1%
565	1	< 0.1%
555	1	< 0.1%
552	2	< 0.1%

nbre_acte_tot_f
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	570
Distinct (%)	3.2%
Missing	216725
Missing (%)	92.4%
Infinite	0
Infinite (%)	0.0%

Mean	106.6834298
Minimum	0
Maximum	824
Zeros	1
Zeros (%)	< 0.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	21
Q1	51
median	75
Q3	127
95-th percentile	314
Maximum	824
Range	824
Interquartile range (IQR)	76

Descriptive statistics

Standard deviation	93.76426974
Coefficient of variation (CV)	0.8789019056
Kurtosis	6.233892929
Mean	106.6834298
Median Absolute Deviation (MAD)	32
Skewness	2.27167665
Sum	1898645
Variance	8791.738281
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58	216	0.1%
63	215	0.1%
61	206	0.1%
66	206	0.1%
59	204	0.1%
55	201	0.1%
68	201	0.1%
52	199	0.1%
49	198	0.1%
64	197	0.1%
Other values (560)	15754	6.7%
(Missing)	216725	92.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	6	< 0.1%
2	5	< 0.1%
3	10	< 0.1%
4	6	< 0.1%

Value	Count	Frequency (%)
824	1	< 0.1%
823	1	< 0.1%
793	1	< 0.1%
742	1	< 0.1%
707	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	dep	date_de_passage	sursaud_cl_age_corona	nbre_pass_tot	nbre_pass_corona_h	nbre_pass_corona_f	nbre_pass_tot_h	nbre_pass_tot_f	nbre_hospit_corona_h	nbre_hospit_corona_f	nbre_acte_corona	nbre_acte_tot	nbre_acte_corona_h	nbre_acte_corona_f	nbre_acte_tot_h	nbre_acte_tot_f
0	01	2020-02-24	0	357.0	0.0	0.0	202.0	155.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN
1	01	2020-02-24	A	73.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	01	2020-02-24	B	155.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	01	2020-02-24	C	61.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	01	2020-02-24	D	28.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	01	2020-02-24	E	40.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	01	2020-02-25	0	310.0	0.0	0.0	177.0	133.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN
7	01	2020-02-25	A	70.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	01	2020-02-25	B	117.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	01	2020-02-25	C	53.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	dep	date_de_passage	sursaud_cl_age_corona	nbre_pass_corona	nbre_pass_tot	nbre_hospit_corona	nbre_pass_corona_h	nbre_pass_corona_f	nbre_pass_tot_h	nbre_pass_tot_f	nbre_hospit_corona_h	nbre_hospit_corona_f	nbre_acte_corona	nbre_acte_tot	nbre_acte_corona_h	nbre_acte_corona_f	nbre_acte_tot_h	nbre_acte_tot_f
234512	976	2021-03-15	B	0.0	41.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
234513	976	2021-03-15	C	1.0	19.0	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
234514	976	2021-03-15	D	1.0	5.0	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
234515	976	2021-03-15	E	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
234516	976	2021-03-16	0	0.0	62.0	0.0	0.0	0.0	32.0	30.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN
234517	976	2021-03-16	A	0.0	20.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
234518	976	2021-03-16	B	0.0	30.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
234519	976	2021-03-16	C	0.0	10.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
234520	976	2021-03-16	D	0.0	1.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
234521	976	2021-03-16	E	0.0	1.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows